Unprecedented Growth Ushers in New Era for IT Industry

The global information technology (IT) industry is reaching a historic turning point. Worldwide IT spending in 2025 is projected to reach $5.43 trillion (approximately 643 trillion KRW), with expectations to surpass $6 trillion in 2026. This represents more than mere quantitative growth—it signals a structural transformation across the industry.

This growth trajectory is being driven by three pillars: artificial intelligence (AI), cloud computing, and cybersecurity. Particularly as generative AI (GenAI) moves beyond the experimental phase to become enterprise-tailored solutions, it is accelerating innovation across all industries from healthcare to finance.

9.8% Growth Rate: What's Driving It?

2025 IT spending is estimated to fall between $5.61 trillion and $5.74 trillion, representing a 9.3-9.8% increase compared to 2024. This significantly exceeds the 2024 growth rate of 7.2%, demonstrating accelerated momentum across the industry.

The most prominent growth driver is the AI market. An average annual growth rate of 29% is anticipated from 2024 to 2028, with AI agents (autonomous workflow execution systems) expected to transform the landscape of both enterprise and consumer technology.

Cloud computing is also maintaining robust growth. Global public cloud spending is projected to double by 2028 compared to 2024 levels. Following major outages at Microsoft (MSFT) and Amazon (AMZN) AWS in 2024, over 85% of enterprises have adopted hybrid or multi-cloud strategies. This approach reduces dependence on single platforms while simultaneously securing cost efficiency and resilience.

The cybersecurity market is also experiencing rapid expansion. With global cybercrime damages expected to reach $10.5 trillion in 2025, the security solutions market is forecast to grow to $200 billion by 2028. This demonstrates that as digital transformation accelerates, security investment becomes an indispensable element.

Additionally, quantum computing, 5G and beyond communications networks, edge computing, blockchain, and low-code/no-code platforms are adding further dynamism across the industry.

2024: A Year of Transformation

2024 marked the first year of experimentation and monetization for generative AI. Enterprises moved beyond proof of concept (PoC) to stages of creating actual business value. However, restructuring at big tech companies continued, though with reduced intensity compared to previous periods.

The major cloud outages at Microsoft and AWS in July 2024 sent shockwaves throughout the industry. Subsequently, enterprises accelerated the construction of multi-cloud architectures, while actively pursuing ethical AI frameworks and post-quantum cryptography implementation.

Entering 2025, AI investment is focused "beyond proof of concept" on developing enterprise-tailored solutions. This signifies AI's evolution from general-purpose tools to industry-specific specialized solutions.

When Did This Trend Begin?

The explosive growth of the IT industry didn't happen overnight. Its roots trace back to the cloud revolution of the 2010s. As Amazon AWS (2006), Microsoft Azure (2010), and Google Cloud (2011) became fully operational, corporate IT infrastructure shifted from on-premises to cloud-based systems.

The COVID-19 pandemic of 2020 dramatically accelerated this trend. As remote work and contactless services became everyday norms, demand for cloud, collaboration tools, and cybersecurity surged, transforming digital transformation from a "choice" to a matter of "survival."

The launch of ChatGPT in November 2022 marked another turning point. As generative AI became mainstream, enterprises reassessed AI's potential applications, and earnest adoption and investment began in 2023. 2024 was a year of experimentation and validation, while 2025 marks entry into the actual revenue generation phase.

Cybersecurity followed a similar trajectory. As ransomware attacks became prevalent in the mid-2010s, security investment surged, and entering the 2020s, nation-state cyber attacks and supply chain hacking became commonplace, making security not a choice but a necessity.

Impact on Markets and Economy

The growth of the IT industry extends beyond a single sector's prosperity to create ripple effects across the global economy.

First, there's productivity improvement across all industries. AI and cloud are revolutionizing operational methods in nearly every sector including healthcare, manufacturing, finance, and logistics. This leads to efficiency gains in the short term and creation of new business models in the long term.

Surging demand for advanced technical talent is also noteworthy. As demand for AI engineers, data scientists, cloud architects, and cybersecurity specialists far exceeds supply, a global talent war is underway. This is likely to lead to restructuring of education systems and labor markets.

Changes are also detected from an investment perspective. While early AI investment was "jump in first" style, strategic realignment is now occurring with focus on sustainable growth and profitability. This suggests the IT ecosystem is entering a mature phase.

Central bank monetary policies may also be influenced by this trend. Some analyses suggest that the IT industry's growth momentum maintains economic growth overall, potentially providing justification for continuing accommodative monetary policy stances.

Future Outlook [AI Analysis]

The IT industry's growth momentum will likely continue at least through 2028. AI, cloud, and cybersecurity each possess powerful independent growth drivers, but they're creating synergies by complementing one another.

However, several variables exist. First, AI regulation. If governments impose constraints on AI use, as with the European Union's (EU) AI Act, some investments may be delayed or redirected. Second, sophistication of cyber threats. As security technology advances, attack techniques also evolve, requiring continuous investment while also presenting risk factors.

Third, the talent shortage problem. Currently, advanced technical talent supply cannot keep pace with demand, which may lead to project delays or cost increases. However, the proliferation of low-code/no-code platforms is expected to partially alleviate this.

Long-term, commercialization of quantum computing may become another inflection point. Currently in experimental stages, if commercialized in the early 2030s, paradigm shifts could occur across various domains including encryption, AI training, and drug development.

Ultimately, the IT industry is at a stage of establishing robust short-term growth, mid-term structural reorganization, and long-term foundations for new technological revolution. Both investors and enterprises must monitor this trend and adjust their strategies accordingly.